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Face Recognition under Varying Views

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Biologically Motivated Computer Vision (BMCV 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1811))

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Abstract

In this paper “EIGENFACES” are used to recognize human faces. We have developed a method that uses three eigenspaces. The system can identify faces under different angles, even if considerable changes were made in the orientation. First of all we represent the face using the Karhunen-Loeve transform. The face entered is automatically classified according to its orientation. Then we applied the rule of decision of the minimal distance for the identification. The system is simple, powerful and robust.

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References

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Author information

Authors and Affiliations

  1. Centre de Développement des Technologies Avancées, 128, Chemin Mohamed Gacem, BP. 245, El-Madania. Alger, Algérie

    A. Sehad, H. Hocini & A. Hadid

  2. IHC Université de Boumerdes, Algérie

    M. Djeddi

  3. Université de Tizi-ouzou Institut d’Electronique, Algérie

    S. Ameur

Authors
  1. A. Sehad
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  2. H. Hocini
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  3. A. Hadid
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  4. M. Djeddi
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  5. S. Ameur
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Editor information

Editors and Affiliations

  1. Center for Artificial Vision Research, Korea University, Anam-dong, Seongbuk-ku, Seoul, 136-701, Korea

    Seong-Whan Lee

  2. Max-Planck-Institute for Biological Cybernetics, Spemannstr. 38, 72076, Tübingen, Germany

    Heinrich H. Bülthoff

  3. Department of Brain and Cognitive Sciences Artificial Intelligence Laboratory, E25-218, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA, 02142, USA

    Tomaso Poggio

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© 2000 Springer-Verlag Berlin Heidelberg

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Sehad, A., Hocini, H., Hadid, A., Djeddi, M., Ameur, S. (2000). Face Recognition under Varying Views. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_25

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  • DOI: https://doi.org/10.1007/3-540-45482-9_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67560-0

  • Online ISBN: 978-3-540-45482-3

  • eBook Packages: Springer Book Archive

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